High-quality scientific research is very important in attempting to effectively control the coronavirus disease 2019 (COVID-19) pandemic and ensure people's health and safety. Chloroquine (CQ) and hydroxychloroquine (HCQ) have received much attention. This article comprehensively investigates the ethical review of off-label CQ and HCQ research during the COVID-19 pandemic with regard to strictly abiding by review standards, improving review efficiency, ensuring the rights and interests of subjects and that ethics committees conduct independent reviews, and achieving full ethics supervision of research conducted during an emergency. Research must be both rigorous and prudent to ensure the best outcome, with the maximization of benefits as the core principle. Standardization of the application, implementation and ethical review processes are needed to prevent unnecessary risk.
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http://dx.doi.org/10.12998/wjcc.v10.i17.5541 | DOI Listing |
Indian J Med Ethics
January 2025
Department of Clinical Pharmacology, Toipwala National Medical College and BYL Nair Charitable Hospital, Mumbai 400008, Maharashtra, INDIA.
Background: Misconduct in the publication of research articles is a serious concern for the scientific community. This study was conducted with the objective to assess various reasons for retraction of clinical research articles published in PubMed indexed journals from all over the world since 2012 to 2022.
Methods: A search was performed on the PubMed database for retracted research articles using filters for "retracted publication".
Eur J Obstet Gynecol Reprod Biol X
March 2025
Department of Surgery, Duke University, Durham, NC, USA.
Treatment of extreme premature infants (EPI) is limited by developmental immaturity primarily of the lung. A paradigm shift towards a more physiologic treatment of EPI as fetal neonates or , by keeping them in a womb-like environment to allow continued organ maturation, is the rationale for artificial womb technology. In this review, we discuss the artificial placenta and womb technology, it's rationale, the history of its development, the most recent preclinical models described in the literature and finally pertinent ethical considerations.
View Article and Find Full Text PDFRisk Manag Healthc Policy
January 2025
Department of Family Medicine, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
Purpose: The aim of the study was to assess the effect of policy intervention on the physician ordering of HbA1c for the patients seen at the primary health care center in Riyadh, Saudi Arabia.
Methods: The study included patients over the age of 18 for whom HbA1c tests were ordered before and after the policy restrictions were implemented at the three main Primary Health Care Centers under the Ministry of National Guard Health Affairs (MNGHA) in Riyadh, between October 2020 and August 2023. Several data management steps and restrictions were carried out to identify the patients seen before and after the intervention and controlled for the confounders.
Lancet Reg Health Eur
March 2025
Faculty of Pharmacy and Medicine, Sapienza University, Rome, Italy.
Digital technologies can help support the health of migrants and refugees and facilitate research on their health issues. However, ethical concerns include security and confidentiality of information; informed consent; how to engage migrants in designing, implementing and researching digital tools; inequitable access to mobile devices and the internet; and access to health services for early intervention and follow-up. Digital technical solutions do not necessarily overcome problems that are political, social, or economic.
View Article and Find Full Text PDFBiomed Opt Express
January 2025
Computer Engineering Department, Taiyuan Institute of Technology, Taiyuan 030008, China.
Gastric cancer is a leading cause of cancer-related deaths globally. As mortality rates continue to rise, predicting cancer survival using multimodal data-including histopathological images, genomic data, and clinical information-has become increasingly crucial. However, extracting effective predictive features from this complex data has posed challenges for survival analysis due to the high dimensionality and heterogeneity of histopathology images and genomic data.
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